A novel synthetic data generation platform that produces private, secure and robust synthetic data for AI use casesbroad
SydAi · Horizon Europe grant · 2025-04-01–2027-03-31
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2024-ACCELERATOR-02 · scheme HORIZON-EIC-ACC · topic HORIZON-EIC-2024-ACCELERATOROPEN-01. CORDIS record →
Objective
The age of the artificial intelligence (AI) revolution has arrived, bringing with it numerous opportunities across key industries, including healthcare, banking, and retail. Recent studies indicate that AI has the potential to increase global GDP by EUR14.03 trillion by 2030. However, the effectiveness of AI systems has thus far been limited by a lack of access to high-quality data without infringing on privacy rights. Poor data quality—characterized by incompleteness, inaccuracies, outdated information, or irrelevance—can lead to biased predictions and erroneous decisions, affecting up to 80% of AI projects.To address these issues, synthetic data has emerged as a potential solution. Synthetic data is artificially generated information that mirrors the statistical properties of real-world data. This data can be freely processed and used in AI model development without risking privacy breaches. However, until synthetic data can overcome its current limitations, its use remains restricted. These limitations include avoiding biases present in the original data, generating synthetic data that mimics very complex relational databases, and effectively satisfying deterministic rules.At Aindo, we have developed SyDAi, a novel synthetic data platform that empowers companies to generate high-quality and high-privacy synthetic data. This breakthrough aims to democratize and accelerate AI innovation, enabling all industries to actively participate in the AI revolution. Unlike many existing solutions that focus on specific data types or lack the ability to handle certain statistical dependencies, our platform can generate synthetic data with advanced data formats. The innovation of this innovation has recently led to SyDAi being recognized independently by the United States National Institute of Standards and Technology (NIST) as best-in-class for optimizing the privacy-fidelity trade-off.
Beneficiaries (1)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| AINDO SPA | IT | coordinator | €2,080,086 | Yes |
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